Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC Converter

This paper proposes a digital model predictive controller (DMPC) for a multi-input multi-output (MIMO) DC-DC converter interfaced with renewable energy resources in a hybrid system. Such MIMO systems generally suffer from cross-regulation, which seriously impacts the stability and speed of response...

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Main Authors: Vibha Kamaraj, N. Chellammal, Bharatiraja Chokkalingam, Josiah Lange Munda
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/24/6534
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spelling doaj-6fac5ae60846447abeda77ea2cd60f912020-12-11T00:05:44ZengMDPI AGEnergies1996-10732020-12-01136534653410.3390/en13246534Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC ConverterVibha Kamaraj0N. Chellammal1Bharatiraja Chokkalingam2Josiah Lange Munda3Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai 603 203, IndiaDepartment of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai 603 203, IndiaDepartment of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai 603 203, IndiaDepartment of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South AfricaThis paper proposes a digital model predictive controller (DMPC) for a multi-input multi-output (MIMO) DC-DC converter interfaced with renewable energy resources in a hybrid system. Such MIMO systems generally suffer from cross-regulation, which seriously impacts the stability and speed of response of the system. To solve the contemporary issues in a MIMO system, a controller is required to attenuate the cross-regulation. Therefore, this paper proposes a controller, which increases speed of response and maintains stable output by regulating the load voltage independently. The inductor current and the capacitor voltage of the proposed converter are considered as the controlling parameters. With the aid of Forward Euler’s procedure, the future values are computed for the instantaneous values of controlling parameters. Cost function defines the control action by the predicted values that describe the system performance and establish optimal condition at which the output of the system is required. This allows proper switching of the system, thereby helping to regulate the output voltages. Thus, for any variation in load, the DMPC ensures steady switching operation and minimization of cross-regulation. To prove the efficacy of proposed DMPC controller, simulations followed by the experimental results are executed on a hybrid system consisting of dual-input dual-output (DIDO) positive Super-Lift Luo converter (PSLLC) interfaced with photovoltaic renewable energy resource. The results thus obtained are compared with the conventional PID (proportional integrative derivative) controller for validation and prove that the DMPC controller is able to control the cross-regulation effectively.https://www.mdpi.com/1996-1073/13/24/6534renewable energyMIMO systemscross-regulationpositive Super-Lift Luo converterPID controllerdigital model predictive controller (DMPC)
collection DOAJ
language English
format Article
sources DOAJ
author Vibha Kamaraj
N. Chellammal
Bharatiraja Chokkalingam
Josiah Lange Munda
spellingShingle Vibha Kamaraj
N. Chellammal
Bharatiraja Chokkalingam
Josiah Lange Munda
Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC Converter
Energies
renewable energy
MIMO systems
cross-regulation
positive Super-Lift Luo converter
PID controller
digital model predictive controller (DMPC)
author_facet Vibha Kamaraj
N. Chellammal
Bharatiraja Chokkalingam
Josiah Lange Munda
author_sort Vibha Kamaraj
title Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC Converter
title_short Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC Converter
title_full Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC Converter
title_fullStr Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC Converter
title_full_unstemmed Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC Converter
title_sort minimization of cross-regulation in pv and battery connected multi-input multi-output dc to dc converter
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2020-12-01
description This paper proposes a digital model predictive controller (DMPC) for a multi-input multi-output (MIMO) DC-DC converter interfaced with renewable energy resources in a hybrid system. Such MIMO systems generally suffer from cross-regulation, which seriously impacts the stability and speed of response of the system. To solve the contemporary issues in a MIMO system, a controller is required to attenuate the cross-regulation. Therefore, this paper proposes a controller, which increases speed of response and maintains stable output by regulating the load voltage independently. The inductor current and the capacitor voltage of the proposed converter are considered as the controlling parameters. With the aid of Forward Euler’s procedure, the future values are computed for the instantaneous values of controlling parameters. Cost function defines the control action by the predicted values that describe the system performance and establish optimal condition at which the output of the system is required. This allows proper switching of the system, thereby helping to regulate the output voltages. Thus, for any variation in load, the DMPC ensures steady switching operation and minimization of cross-regulation. To prove the efficacy of proposed DMPC controller, simulations followed by the experimental results are executed on a hybrid system consisting of dual-input dual-output (DIDO) positive Super-Lift Luo converter (PSLLC) interfaced with photovoltaic renewable energy resource. The results thus obtained are compared with the conventional PID (proportional integrative derivative) controller for validation and prove that the DMPC controller is able to control the cross-regulation effectively.
topic renewable energy
MIMO systems
cross-regulation
positive Super-Lift Luo converter
PID controller
digital model predictive controller (DMPC)
url https://www.mdpi.com/1996-1073/13/24/6534
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AT bharatirajachokkalingam minimizationofcrossregulationinpvandbatteryconnectedmultiinputmultioutputdctodcconverter
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